Design of Computer Aided Analysis System of Sports Load based on Big Data Technology
Authors: 
Jie Sun, Rui JiangAuthors Info & Claims
Jie Sun, Rui JiangAuthors Info & ClaimsPages 900 - 905
Abstract
In the process of ECG signal transmission, the current computer-aided analysis system has the problem of fuzzy measurement characteristics, which leads to the short distance of signal transmission. This paper designs a computer-aided analysis system of exercise load based on big data technology. Hardware part: design active power filter, connect LCD interface circuit and related accessories; Software part: obtain the measurement characteristics of exercise load, reflect the depth of the load on the body stimulation, big data technology to establish a computer-aided analysis database, divide the data structure type, according to the number of abnormal fluctuations in the sampling value queue, adaptive hybrid filtering algorithm to set the software quantitative function. Experimental results: the average signal transmission distance between the designed computer-aided analysis system and the other two analysis systems is 457.52m, 395.76m and 367.76m respectively, which proves that the analysis system integrated with big data technology has higher use value.
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Published In
April 2022
1065 pages
ISBN:9781450395786
DOI:10.1145/3544109
Copyright © 2022 ACM.
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Association for Computing Machinery
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Published: 18 July 2022
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IPEC2022
IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers
April 14 - 16, 2022
Dalian, China
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